000 02384nam a22003378a 4500
005 20250918153148.0
008 120414s2011 flu b 001 0 eng
020 _a9781439841785 (hbk)
_cRM317.39
039 9 _a201208031527
_bhayat
_c201207131559
_dbaiti
_c201206261231
_dmazarita
_y04-14-2012
_zmazarita
040 _aUKM
090 _aTA169.5.M337 3
090 _aTA169.5
_b.M337 3
245 0 0 _aMachine learning and knowledge discovery for engineering systems health management /
_ceditors, Ashok N. Srivastava and Jiawei Han.
260 _aBoca Raton, FL :
_bTaylor & Francis,
_c2011.
300 _axii, 464 p. :
_bill.
_c23 cm.
490 0 _aChapman & Hall/CRC data mining and knowledge discovery series
504 _aIncludes bibliographical references and index.
520 _a'Systems health is a broad multidisciplinary field of study that generates huge amounts of data and thus is an extremely appropriate forum in which to utilize machine learning and knowledge discovery techniques. This book explores the use of machine learning and knowledge discovery in systems health research. It covers data mining and text mining algorithms, anomaly detection, diagnostic and prognostic systems, and applications to engineering systems. Featuring contributions from leading experts, the book is the first to explore this emerging research area'--
_cProvided by publisher.
520 _a'This book explores the development of state-of-the-art tools and techniques that can be used to automatically detect, diagnose, and in some cases, predict the effects of adverse events in an engineered system on its ultimate performance. This gives rise to the field Systems Health Management, in which methods are developed with the express purpose of monitoring the condition, or'state of health' of a complex system, diagnosing faults, and estimating the remaining useful life of the system'--
_cProvided by publisher.
650 0 _aSystem failures (Engineering)
_xPrevention
_xData processing.
650 0 _aMachine learning.
700 1 _aSrivastava, Ashok N.
_q(Ashok Narain),
_d1969-
700 1 _aHan, Jiawei.
907 _a.b15326718
_b2021-05-28
_c2019-11-12
942 _c01
_n0
_kTA169.5.M337 3
914 _avtls003496791
990 _abaiti
991 _aFakulti Teknologi dan Sains Maklumat
998 _al
_b2012-01-04
_cm
_da
_feng
_gflu
_y0
_z.b15326718
999 _c516503
_d516503